"Text as Data": A talk by Justin Grimmer
The Iowa Social Science Research Center and our cosponsors are pleased to invite you to a workshop on November 20 from 9-12 with Justin Grimmer from Stanford University that will cover the treatment of text as data. Text as data methods are increasingly used across fields in the social sciences and humanities. This workshop will provide an introduction to text as data methods, highlight promising applications, and discuss common misconceptions. Participants will learn how to do basic text processing and how to apply some of the most commonly used text as data methods.
Justin Grimmer is an associate professor of political science at Stanford University. His research examines how representation occurs in American politics using new statistical methods. His first book Representational Style in Congress: What Legislators Say and Why It Matters(Cambridge University Press, 2013) shows how senators define the type of representation they provide constituents and how this affects constituents' evaluations and was awarded the 2014 Richard Fenno Prize. His second book The Impression of Influence: How Legislator Communication and Government Spending Cultivate a Personal Vote (Princeton University Press, 2014 with Sean J. Westwood and Solomon Messing) demonstrates how legislators ensure they receive credit for government actions. His work has appeared in the American Political Science Review, American Journal of Political Science, Journal of Politics, Political Analysis, Proceedings of the National Academy of Sciences, Regulation and Governance, and Poetics.